• 제목/요약/키워드: optimisation

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Effect of Shifting the Pole-shoe and Damper-bar Centerlines on the No-load Voltage Waveform of a Tubular Hydro-generator

  • Fan, Zhen-nan;Han, Li;Liao, Yong;Xie, Li-dan;Wen, Kun;Wang, Jun;Dong, Xiu-cheng;Yao, Bing
    • Journal of Electrical Engineering and Technology
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    • 제13권3호
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    • pp.1294-1303
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    • 2018
  • This study optimises the no-load voltage waveform of tubular hydro-generators by a simple design scheme. For different centerlines of the pole shoe and damper bar, the optimisation effects on the no-load voltage waveform are investigated in two tubular hydro-generators with different weighted powers (34 MW and 18 MW). The results are compared with those of the traditional stator-slots skewed design. The quality of the no-load voltage waveform was related to the shifting degree, and the different optimisation effects between the integer slot generator (q = 2) and the fractional slot generator (q = 11/2) were analysed. This research can improve the quality of the power output and no-load voltage waveform, and provide an effective reference for improving the industrial design and manufacture level of tubular hydro-generators.

컨테이너 연안운송의 비용구조와 경제적 제약 분석 (Analysis on Costs Structure and Economic Limitation at Domestic Short Sea Shipping of Container)

  • 박용안;최기영
    • 한국항만경제학회지
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    • 제25권3호
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    • pp.321-338
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    • 2009
  • 본 연구는 부산항과 인천항간 컨테이너 연안운송이 중단된 배경을 비용구조와 수입 배분의 특성, 시장에서 기업의 행동상 제약으로 구분하여 살펴보았다. 이를 위해 연안운송의 국내물류체계와 연관된 선박 운영비용의 구조를 고찰하고 비용함수를 추정하였다. 또한 연안선사내 운영수입의 배분비율을 살펴보았으며, 144TEU급과 215TEU 급 선박의 평균수입을 산정하였다. 경제적 제약 측면에서는 기업의 이윤 극대화 혹은 손실 최소화라는 목표를 전제로, 연안운송의 중단 원인을 찾으려 노력하였다. 연구 결과, 연안운송은 운영비용 측면에서 최대적재능력에 가까운 적재율을 실현하고 대형선박을 투입할 경우 규모의 경제를 실현할 수 있었다. 운영수입에서는 트럭운송시장의 영향, 복잡한 물류체계에 따른 낮은 평균수입으로 적자가 누적될 가능성이 있었다. 경제적으로는 평균수입이 평균비용보다 낮아, 연안선사가 서비스를 중단하였던 것으로 판단되었다. 따라서 전용선박에 의한 연안운송이 지속되려면 정부 등의 보조금 지원이 필요하다고 판단된다.

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Neural network based numerical model updating and verification for a short span concrete culvert bridge by incorporating Monte Carlo simulations

  • Lin, S.T.K.;Lu, Y.;Alamdari, M.M.;Khoa, N.L.D.
    • Structural Engineering and Mechanics
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    • 제81권3호
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    • pp.293-303
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    • 2022
  • As infrastructure ages and traffic load increases, serious public concerns have arisen for the well-being of bridges. The current health monitoring practice focuses on large-scale bridges rather than short span bridges. However, it is critical that more attention should be given to these behind-the-scene bridges. The relevant information about the construction methods and as-built properties are most likely missing. Additionally, since the condition of a bridge has unavoidably changed during service, due to weathering and deterioration, the material properties and boundary conditions would also have changed since its construction. Therefore, it is not appropriate to continue using the design values of the bridge parameters when undertaking any analysis to evaluate bridge performance. It is imperative to update the model, using finite element (FE) analysis to reflect the current structural condition. In this study, a FE model is established to simulate a concrete culvert bridge in New South Wales, Australia. That model, however, contains a number of parameter uncertainties that would compromise the accuracy of analytical results. The model is therefore updated with a neural network (NN) optimisation algorithm incorporating Monte Carlo (MC) simulation to minimise the uncertainties in parameters. The modal frequency and strain responses produced by the updated FE model are compared with the frequency and strain values on-site measured by sensors. The outcome indicates that the NN model updating incorporating MC simulation is a feasible and robust optimisation method for updating numerical models so as to minimise the difference between numerical models and their real-world counterparts.

Optimised neural network prediction of interface bond strength for GFRP tendon reinforced cemented soil

  • Zhang, Genbao;Chen, Changfu;Zhang, Yuhao;Zhao, Hongchao;Wang, Yufei;Wang, Xiangyu
    • Geomechanics and Engineering
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    • 제28권6호
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    • pp.599-611
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    • 2022
  • Tendon reinforced cemented soil is applied extensively in foundation stabilisation and improvement, especially in areas with soft clay. To solve the deterioration problem led by steel corrosion, the glass fiber-reinforced polymer (GFRP) tendon is introduced to substitute the traditional steel tendon. The interface bond strength between the cemented soil matrix and GFRP tendon demonstrates the outstanding mechanical property of this composite. However, the lack of research between the influence factors and bond strength hinders the application. To evaluate these factors, back propagation neural network (BPNN) is applied to predict the relationship between them and bond strength. Since adjusting BPNN parameters is time-consuming and laborious, the particle swarm optimisation (PSO) algorithm is proposed. This study evaluated the influence of water content, cement content, curing time, and slip distance on the bond performance of GFRP tendon-reinforced cemented soils (GTRCS). The results showed that the ultimate and residual bond strengths were both in positive proportion to cement content and negative to water content. The sample cured for 28 days with 30% water content and 50% cement content had the largest ultimate strength (3879.40 kPa). The PSO-BPNN model was tuned with 3 neurons in the input layer, 10 in the hidden layer, and 1 in the output layer. It showed outstanding performance on a large database comprising 405 testing results. Its higher correlation coefficient (0.908) and lower root-mean-square error (239.11 kPa) were obtained compared to multiple linear regression (MLR) and logistic regression (LR). In addition, a sensitivity analysis was applied to acquire the ranking of the input variables. The results illustrated that the cement content performed the strongest influence on bond strength, followed by the water content and slip displacement.

An advanced machine learning technique to predict compressive strength of green concrete incorporating waste foundry sand

  • Danial Jahed Armaghani;Haleh Rasekh;Panagiotis G. Asteris
    • Computers and Concrete
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    • 제33권1호
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    • pp.77-90
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    • 2024
  • Waste foundry sand (WFS) is the waste product that cause environmental hazards. WFS can be used as a partial replacement of cement or fine aggregates in concrete. A database comprising 234 compressive strength tests of concrete fabricated with WFS is used. To construct the machine learning-based prediction models, the water-to-cement ratio, WFS replacement percentage, WFS-to-cement content ratio, and fineness modulus of WFS were considered as the model's inputs, and the compressive strength of concrete is set as the model's output. A base extreme gradient boosting (XGBoost) model together with two hybrid XGBoost models mixed with the tunicate swarm algorithm (TSA) and the salp swarm algorithm (SSA) were applied. The role of TSA and SSA is to identify the optimum values of XGBoost hyperparameters to obtain the higher performance. The results of these hybrid techniques were compared with the results of the base XGBoost model in order to investigate and justify the implementation of optimisation algorithms. The results showed that the hybrid XGBoost models are faster and more accurate compared to the base XGBoost technique. The XGBoost-SSA model shows superior performance compared to previously published works in the literature, offering a reduced system error rate. Although the WFS-to-cement ratio is significant, the WFS replacement percentage has a smaller influence on the compressive strength of concrete. To improve the compressive strength of concrete fabricated with WFS, the simultaneous consideration of the water-to-cement ratio and fineness modulus of WFS is recommended.

POSSIBILITIES TO IMPROVE TRANSIENT GEAR SHIFT NOISE (SHIFT CLONK) IN A PASSENGER CAR

  • BIERMANN J. W.;REITZ A.
    • International Journal of Automotive Technology
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    • 제6권1호
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    • pp.23-28
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    • 2005
  • The presented investigation of shift clonk in a vehicle with front-wheel drive shows how a detailed analysis of the complete acoustic system with respect to excitation, transfer and radiation foremost enables possibilities of noise reduction to be worked out. One of the most important basics for the shift clonk analysis was a synchronous measurement of both, torsional vibrations in the drive train on the excitation side as well as airborne and structure-borne noise signals on the transfer and radiation side. Thus, root causes could be identified and improvement measures of the internal shift system could be worked out. An analysis of the transfer paths by means of airborne and structure borne noise measurements made evident that the side shafts were responsible for the disturbing frequencies in the transfer paths. With the help of the FE-simulation it was possible to develop measures of structure optimisation for the side shaft system. The realisation of these measures clearly reduced the shift-noises in the vehicle interior.

EHL 개념을 도입한 PLANOCENTRIC GEATS 장치의 설계 최적화 (CAD Optimisation of The Planocentric Gears From EHL(elasto-hydrodynamic lubrication) Concept)

  • 권오관;이성철;김이범
    • Tribology and Lubricants
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    • 제1권1호
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    • pp.69-79
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    • 1985
  • Planocentric gears 장치에서 내치차에 pin type의 치형을 사용하고 휠의 치형을 원호로 구성하였을 경우 치의 접촉특성을 탄성유역학적 윤활이론을 도입하여 해석 하였다. 윤활 특성을 개선하기 위하여 물림 위치(meshing position)에 의거한 설계 방법과 치의 모서리 부분 형상을 만곡되게 하는 치형 설계 방법을 제시하고 기존 설계에 의한 장치와 수치적으로 특성을 비교 하였다.

Decision-Theoretic Approach to Source Direction Finding in Array Sensor Systems

  • Cheung, Wan-Sup
    • 한국음향학회:학술대회논문집
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    • 한국음향학회 1993년도 학술논문발표회 논문집 제12권 1호
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    • pp.201-205
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    • 1993
  • A decision-theoretic concept is introduced to investigate whether targets of interest in array sensor systems are present at some steering direction or not. The solutions to this problem are described as a set of simple numbers 0 or 1 corresponding to the direction under consideration. This coded number representation is transplanted in the optimisation technique based on the Hopfield neural network, which may provide a new aspect of determining the direction of arrival (DOA) of sources. To cast the perspectives of the proposed approach and illustrate its effectiveness in source direction finding in array sensor systems, simulation results and related discussions are presented in this paper.

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Efficient Lambda Logic Based Optimisation Procedure to Solve the Large Scale Generator Constrained Economic Dispatch Problem

  • Adhinarayanan, T.;Sydulu, M.
    • Journal of Electrical Engineering and Technology
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    • 제4권3호
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    • pp.301-309
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    • 2009
  • A simple and efficient Lambda logic (${\lambda}-logic$) based algorithm is proposed for the solution of the generator constrained economic dispatch problem when the generating units having prohibited zones. The proposed method solves the economic dispatch (ED) problem that takes into account ramprate limits, transmission losses and prohibited operating zones in the power system operation. The proposed method uses a simple heuristic rule based on average power of prohibited operating zones which produces the feasibility of solution for the restricted operating units. The effectiveness of the algorithm is tested on five different test systems and the performance compared with other relevant methods reported in the literature. In all the cases, the proposed algorithm performs better than the previous existing algorithms with a less computational burden.

FEM을 이용한 GMA 용접공정의 비드형상 모델링 (Modelling of Bead Geometry for GMA Welding Process Using FEM)

  • 정영재
    • 한국공작기계학회:학술대회논문집
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    • 한국공작기계학회 1997년도 추계학술대회 논문집
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    • pp.298-303
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    • 1997
  • Over the last few year, there has been a growing interest in quantitative representation of heat transfer phenomena in weld pools in order to relate the processing conditions to the quality of the weldment produced and to use this information for the optimisation and robotization of the welding process. Normally, a theoretical model offers a powerful alternative to check out the physical concepts of the welding process and to calculate the effects of varying any of parameters. To solve this problem, a transient 2D(two-dimensional) heat conduction were developed for determining bead geometry and temperature distribution for the GMA welding process. The equation was solved using a general thermofluid-mechanics computer program, PHOENICS code, which is based on the SIMPLE algorithm. The simulation results showed that the calculated bead geometry from the developed models reasonablely agree with the experiment results.

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